游戏 AI 智能体算法工程师-小游戏/休闲游戏方向
Core
Develop and deploy AI agents (bots, NPCs, opponents) for casual games using LLMs, multimodal models, and reinforcement learning.
Role type
Senior IC machine-learning engineer (game AI agents)
Builds
Production AI agents for in-game companionship and competitive play
Domain
Gaming (casual/hyper-casual) + Reinforcement Learning / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, Reinforcement Learning (PPO, DQN), LLM inference, Game AI architecture (Behavior Trees, GOAP, MCTS), Model optimization for edge devices
Preferred skills
Multimodal Agent technology, LLM alignment
Technologies
PyTorch, LLMs, Behavior Trees, GOAP, Monte Carlo Tree Search
Responsibilities
Design and implement AI bot algorithms for real-time game matches; Develop general-purpose agent architectures for human-like behavior; Optimize models for low latency and edge deployment; Collaborate with design and engineering teams to iterate on bot capabilities.